unit-testing-test-generate

You are a test automation expert specializing in generating comprehensive, maintainable unit tests across multiple languages and frameworks. Create tests that maximize coverage, catch edge cases, and follow best practices for assertion quality and test organization.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

0

total installs

0

this week

31.1K

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill unit-testing-test-generate

0

installs

0

this week

31.1K

stars

Installation Guide

How to use unit-testing-test-generate on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add unit-testing-test-generate
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill unit-testing-test-generate

Fetches unit-testing-test-generate from sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/unit-testing-test-generate

Restart Cursor to activate unit-testing-test-generate. Access via /unit-testing-test-generate in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Automated Unit Test Generation

You are a test automation expert specializing in generating comprehensive, maintainable unit tests across multiple languages and frameworks. Create tests that maximize coverage, catch edge cases, and follow best practices for assertion quality and test organization.

Use this skill when

  • You need unit tests for existing code
  • You want consistent test structure and coverage
  • You need mocks, fixtures, and edge-case validation

Do not use this skill when

  • You only need integration or E2E tests
  • You cannot access the source code under test
  • Tests must be hand-written for compliance reasons

Context

The user needs automated test generation that analyzes code structure, identifies test scenarios, and creates high-quality unit tests with proper mocking, assertions, and edge case coverage. Focus on framework-specific patterns and maintainable test suites.

Requirements

$ARGUMENTS

Instructions

1. Analyze Code for Test Generation

Scan codebase to identify untested code and generate comprehensive test suites:

import ast
from pathlib import Path
from typing import Dict, List, Any

class TestGenerator:
    def __init__(self, language: str):
        self.language = language
        self.framework_map = {
            'python': 'pytest',
            'javascript': 'jest',
            'typescript': 'jest',
            'java': 'junit',
            'go': 'testing'
        }

    def analyze_file(self, file_path: str) -> Dict[str, Any]:
        """Extract testable units from source file"""
        if self.language == 'python':
            return self._analyze_python(file_path)
        elif self.language in ['javascript', 'typescript']:
            return self._analyze_javascript(file_path)

    def _analyze_python(self, file_path: str) -> Dict:
        with open(file_path) as f:
            tree = ast.parse(f.read())

        functions = []
        classes = []

        for node in ast.walk(tree):
            if isinstance(node, ast.FunctionDef):
                functions.append({
                    'name': node.name,
                    'args': [arg.arg for arg in node.args.args],
                    'returns': ast.unparse(node.returns) if node.returns else None,
                    'decorators': [ast.unparse(d) for d in node.decorator_list],
                    'docstring': ast.get_docstring(node),
                    'complexity': self._calculate_complexity(node)
                })
            elif isinstance(node, ast.ClassDef):
                methods = [n.name for n in node.body if isinstance(n, ast.FunctionDef)]
                classes.append({
                    'name': node.name,
                    'methods': methods,
                    'bases': [ast.unparse(base) for base in node.bases]
                })

        return {'functions': functions, 'classes': classes, 'file': file_path}

2. Generate Python Tests with pytest

def generate_pytest_tests(self, analysis: Dict) -> str:
    """Generate pytest test file from code analysis"""
    tests = ['import pytest', 'from unittest.mock import Mock, patch', '']

    module_name = Path(analysis['file']).stem
    tests.append(f"from {module_name} import *\n")

    for func in analysis['functions']:
        if func['name'].startswith('_'):
            continue

        test_class = self._generate_function_tests(func)
        tests.append(test_class)

    for cls in analysis['classes']:
        test_class = self._generate_class_tests(cls)
        tests.append(test_class)

    return '\n'.join(tests)

def _generate_function_tests(self, func: Dict) -> str:
    """Generate test cases for a function"""
    func_name = func['name']
    tests = [f"\n\nclass Test{func_name.title()}:"]

    # Happy path test
    tests.append(f"    def test_{func_name}_success(self):")
    tests.append(f"        result = {func_name}({self._generate_mock_args(func['args'])})")
    tests.append(f"        assert result is not None\n")

    # Edge case tests
    if len(func['args']) > 0:
        tests.append(f"    def test_{func_name}_with_empty_input(self):")
        tests.append(f"        with pytest.raises((ValueError, TypeError)):")
        tests.append(f"            {func_name}({self._generate_empty_args(func['args'])})\n")

    # Exception handling test
    tests.append(f"    def test_{func_name}_handles_errors(self):")
    tests.append(f"        with pytest.raises(Exception):")
    tests.append(f"            {func_name}({self._generate_invalid_args

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.831 reviews
  • K
    Kabir HarrisDec 24, 2024

    Registry listing for unit-testing-test-generate matched our evaluation — installs cleanly and behaves as described in the markdown.

  • C
    Chaitanya PatilDec 12, 2024

    unit-testing-test-generate reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • S
    Sofia MenonDec 4, 2024

    unit-testing-test-generate reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • M
    Mateo RaoNov 23, 2024

    I recommend unit-testing-test-generate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • M
    Min ZhangNov 19, 2024

    Keeps context tight: unit-testing-test-generate is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • F
    Fatima GonzalezNov 15, 2024

    Useful defaults in unit-testing-test-generate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • P
    Piyush GNov 3, 2024

    I recommend unit-testing-test-generate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • S
    Shikha MishraOct 22, 2024

    Useful defaults in unit-testing-test-generate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • L
    Lucas GuptaOct 14, 2024

    Useful defaults in unit-testing-test-generate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • J
    Jin MartinezOct 10, 2024

    unit-testing-test-generate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

showing 1-10 of 31

1 / 4

Discussion

Comments — not star reviews
  • No comments yet — start the thread.